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Found 3 papers, 2 papers with code
Public Transit Demand Prediction During Highly Dynamic Conditions: A Meta-Analysis of State-of-the-Art Models and Open-Source Benchmarking Infrastructure
We built an open-source infrastructure with five common methodologies, including econometric and deep learning approaches, and assessed their performance under stable and highly dynamic conditions.
Socially-Aware Evaluation Framework for Transportation
In this paper, we develop a holistic framework of indicators, called Socially-Aware Evaluation Framework for Transportation (SAEF), that will assist in understanding how traffic routing and the resultant traffic dynamics impact city metrics, with the intent of avoiding unintended consequences and adhering to city objectives.
Asymmetric, Closed-Form, Finite-Parameter Models of Multinomial Choice
To do so, we (1) introduced a new class of closed-form, finite-parameter, multinomial choice models that we call "logit-type models," (2) introduced a procedure for using our logit-type models to extend existing binary choice models to the multinomial setting, and (3) introduced a procedure for creating new binary choice models (both symmetric and asymmetric).
Applications 62P20, 62P25, 62P30
